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Autoregressive model based algorithm for correcting motion and serially correlated errors in fNIRS
Systemic physiology and motion-induced artifacts represent two major sources of confounding noise in functional near infrared spectroscopy (fNIRS) imaging that can reduce the performance of analyses and inflate false positive rates (i.e., type I errors) of detecting evoked hemodynamic responses. In...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Optical Society of America
2013
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3756568/ https://ncbi.nlm.nih.gov/pubmed/24009999 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.4.001366 |
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